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Volume 8 Issue 3
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Ma Guangwen, Wang Li. Application of a Genetic Algorithm to Optimal Operation of Hydropower Station[J]. Advances in Water Science, 1997, 8(3): 275-280.
Citation: Ma Guangwen, Wang Li. Application of a Genetic Algorithm to Optimal Operation of Hydropower Station[J]. Advances in Water Science, 1997, 8(3): 275-280.
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Application of a Genetic Algorithm to Optimal Operation of Hydropower Station

  • Sichuan Union University, Chengdu 610065

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  • Received Date: January 28, 1996
  • Revised Date: May 26, 1996
    Graphical Abstract
    • Abstract
  • This paper presents a genetic algorithm (GA) for optimal operation of hydropower station.The GA uses a population of points at a time in contrast to the single-point approach by the traditional ones, and will guarantee to find the global optimum.The GA has the benef it of greatly reduced memory requirements, and does not need problem derivative.It is a good adaptive stochastic search method.A case study is given.
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  • [1]
    1 Goldberg D G.Genetic algorithms in search optimization and machine learning,Addison Wesley,1989.50～72
    2 Grefenstette J J.Optimization of control parameters for genetic algorithms.IEEE Trans.on system man and cybernetics,1986,SM C-16(1,Jan./Feb.):124～136
    3 Walters G A,Lohbeck T.Optimallay out of tree networks using genetic algorithms.Engineering Optimization.1993.68～80
    4 Yeh W.Reservoir management and operations models:a state of the art review.Water Resources Research.1985,21(12):1～20
    5 Goldberg D E,Leb K.A comparative analysis of selection schemes used in genetic algorithms,Procecding of the fourth international conference on genetic algorithms.1991.320～331
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